Count bug introduced for scalar subquery when using TEMPORARY VIEW, as compared to using table

scala> spark.sql("""CREATE TABLE outer_table USING parquet AS SELECT * FROM VALUES
     |     (1, 1),
     |     (2, 1),
     |     (3, 3),
     |     (6, 6),
     |     (7, 7),
     |     (9, 9) AS inner_table(a, b)""")

val res6: org.apache.spark.sql.DataFrame = []

scala> spark.sql("CREATE TABLE null_table USING parquet AS SELECT CAST(null AS int) AS a, CAST(null as int) AS b ;")

val res7: org.apache.spark.sql.DataFrame = []

scala> spark.sql("""SELECT ( SELECT COUNT(null_table.a) AS aggAlias FROM null_table WHERE null_table.a = outer_table.a) FROM outer_table""").collect()

val res8: Array[org.apache.spark.sql.Row] = Array([0], [0], [0], [0], [0], [0]) 

spark.sql("CREATE TEMPORARY VIEW outer_view(a, b) AS VALUES (1, 1), (2, 1),(3, 3), (6, 6), (7, 7), (9, 9);")

spark.sql("CREATE TEMPORARY VIEW null_view(a, b) AS SELECT CAST(null AS int), CAST(null as int);")

spark.sql("""SELECT ( SELECT COUNT(null_view.a) AS aggAlias FROM null_view WHERE null_view.a = outer_view.a) FROM outer_view""").collect()

val res2: Array[org.apache.spark.sql.Row] = Array([null], [null], [null], [null], [null], [null])